Pyspark, Dimensional Modeling, Sas Enterprise Guide, Proc Sql, Cloud Storage, Sas Base, Star Schema, Python, Sas Macros, Dataproc, Sql, Git, Iam, Data Warehousing, DataFlow, Etl, SAS Data Sets, Data Pipeline Design, Snowflake Schema, Source-to-Target Mapping, Google BigQuery, Reconciliation, dbt, Performance Optimization, Cloud Composer Airflow, ELT Development, Data Validation

Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Etl Development, Python, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Reconciliation Frameworks, Data Validation

Data Modeling, Dashboarding, Sql, ELT, Data Quality, Data Visualization, Python, Etl, SaaS Enterprise business models, Data processing performance tuning, Logging specifications, Product analytics, Anomaly detection solutions

Data Modelling, Pyspark, Python, Sql, DevOps practices, Delta Lake, Data quality frameworks, Databricks Platform, Streaming data processing

snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Python, AWS, Alation, Data governance principles, Glue, Data quality mesh

Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake

Git, Linux, Pyspark, Scala, Shell scripting, Apache Spark, Apache Kafka, Sql, Python, Apache Nifi

containerization , Gcp, Aws Services, Python, Azure, feature store, model registry, MLOps architecture, data ingestion, cloud platforms, alerting systems, data pipelines, DevOps principles

Apache Airflow, Aws Lambda, Amazon Redshift, Pyspark, Amazon S3, AWS Glue, AWS CloudWatch, Python, AWS